Visual Computing for Medicine, 2nd Edition

  • Published By:
  • ISBN-10: 0124159796
  • ISBN-13: 9780124159792
  • DDC: 616.07
  • Grade Level Range: College Freshman - College Senior
  • 836 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013

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Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques and their applications in medical diagnosis, education, and treatment. The book includes algorithms, applications, and ideas on achieving reliability of results and clinical evaluation of the techniques covered. Preim and Botha illustrate visualization techniques from research, but also cover the information required to solve practical clinical problems. They base the book on several years of combined teaching and research experience. This new edition includes six new chapters on treatment planning, guidance and training; an updated appendix on software support for visual computing for medicine; and a new global structure that better classifies and explains the major lines of work in the field.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
Foreword to the Second Edition.
Preface to the Second Edition.
Author Biography.
1: Introduction.
2: Acquisition, Analysis, and Interpretation of Medical Volume Data.
3: Acquisition of Medical Image Data.
4: An Introduction to Medical Visualization in Clinical Practice.
5: Image Analysis for Medical Visualization.
6: Human-Computer Interaction for Medical Visualization.
7: Visualization and Exploration of Medical Volume Data.
8: Surface Rendering.
9: Direct Volume Visualization.
10: Advanced Direct Volume Visualization.
11: Volume Interaction.
12: Labeling and Measurements in Medical Visualization.
13: Advanced Medical Visualization Techniques.
14: Visualization of Vascular Structures.
15: Illustrative Medical Visualization.
16: Virtual Endoscopy.
17: Projections and Reformations.
18: Visualization of High-Dimensional Medical Image Data.
19: Visualization of Brain Connectivity.
20: Visual Exploration and Analysis of Perfusion Data.
21: Treatment Planning, Guidance and Training.
22: Computer-Assisted Surgery.
23: Image-Guided Surgery and Augmented Reality.
24: Visual Exploration of Simulated and Measured Flow Data.
25: Visual Computing for ENT Surgery Planning.
26: Computer- Assisted Medical Education.